MX2022007872A - Privacy preservation in a queryable database built from unstructured texts. - Google Patents

Privacy preservation in a queryable database built from unstructured texts.

Info

Publication number
MX2022007872A
MX2022007872A MX2022007872A MX2022007872A MX2022007872A MX 2022007872 A MX2022007872 A MX 2022007872A MX 2022007872 A MX2022007872 A MX 2022007872A MX 2022007872 A MX2022007872 A MX 2022007872A MX 2022007872 A MX2022007872 A MX 2022007872A
Authority
MX
Mexico
Prior art keywords
named entities
queryable database
free text
queryable
abstract
Prior art date
Application number
MX2022007872A
Other languages
Spanish (es)
Inventor
Sancho Sara Lumbreras
Guijarro Jorge Tello
García Javier Fernández
Stephanie Marchesseau
Original Assignee
Medsavana S L
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Medsavana S L filed Critical Medsavana S L
Publication of MX2022007872A publication Critical patent/MX2022007872A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language

Abstract

A computer-implemented method of generating a queryable database (109). The method receives a corpus of free text documents (120) containing confidential data, the free text documents being related to the same domain. A trained Natural Language Processing (NLP) system (104) assigns one or more abstract named entities to each free text document in the corpus. The abstract named entities of each free text document are stored in a queryable database configured to provide aggregated information regarding the named entities. The NLP system is configured such that the abstract named entities are recognised and disambiguated with a precision between 0.75 and less than 1 and a recall between 0.75 and less than 1, and such that the ratio of precision and recall is between 0.7 and 1.3; wherein the queryable database is free from the addition of artificial noise by an artificial noise generation algorithm.
MX2022007872A 2019-12-23 2020-12-23 Privacy preservation in a queryable database built from unstructured texts. MX2022007872A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP19383189 2019-12-23
PCT/EP2020/087816 WO2021130337A1 (en) 2019-12-23 2020-12-23 Privacy preservation in a queryable database built from unstructured texts

Publications (1)

Publication Number Publication Date
MX2022007872A true MX2022007872A (en) 2022-07-19

Family

ID=69174292

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2022007872A MX2022007872A (en) 2019-12-23 2020-12-23 Privacy preservation in a queryable database built from unstructured texts.

Country Status (8)

Country Link
US (1) US20230032536A1 (en)
EP (1) EP4081924B1 (en)
AU (1) AU2020412315A1 (en)
BR (1) BR112022012424A2 (en)
CA (1) CA3163953A1 (en)
CO (1) CO2022010085A2 (en)
MX (1) MX2022007872A (en)
WO (1) WO2021130337A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386424B (en) * 2022-03-24 2022-06-10 上海帜讯信息技术股份有限公司 Industry professional text automatic labeling method, industry professional text automatic labeling device, industry professional text automatic labeling terminal and industry professional text automatic labeling storage medium

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8473451B1 (en) * 2004-07-30 2013-06-25 At&T Intellectual Property I, L.P. Preserving privacy in natural language databases
US9437207B2 (en) * 2013-03-12 2016-09-06 Pullstring, Inc. Feature extraction for anonymized speech recognition
US9996526B2 (en) * 2016-10-19 2018-06-12 International Business Machines Corporation System and method for supplementing a question answering system with mixed-language source documents
US11194967B2 (en) * 2018-03-15 2021-12-07 International Business Machines Corporation Unsupervised on-the-fly named entity resolution in dynamic corpora

Also Published As

Publication number Publication date
CA3163953A1 (en) 2021-07-01
EP4081924C0 (en) 2023-10-18
AU2020412315A1 (en) 2022-06-23
CO2022010085A2 (en) 2022-08-09
EP4081924A1 (en) 2022-11-02
EP4081924B1 (en) 2023-10-18
BR112022012424A2 (en) 2022-09-06
WO2021130337A1 (en) 2021-07-01
US20230032536A1 (en) 2023-02-02

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